29 citations · 75 across the 12 of their papers we have counts for
4 papers · 1 filter
Diversity Drives Fairness: Ensemble of Higher Order Mutants for Intersectional Fairness of Machine Learning Software
Zhenpeng Chen, Xinyue Li, Jie M. Zhang +2
Intersectional fairness is a critical requirement for Machine Learning (ML) software, demanding fairness across subgroups defined by multiple protected attributes. This paper intro…
Fairness Testing of Large Language Models in Role-Playing
Xinyue Li, Zhenpeng Chen, Jie M. Zhang +6
Large Language Models (LLMs) have become foundational in modern language-driven software applications, profoundly influencing daily life. A critical technique in leveraging their p…
Personality-Guided Code Generation Using Large Language Models
Yaoqi Guo, Zhenpeng Chen, Jie M. Zhang +2
Code generation, the automatic creation of source code from natural language descriptions, has garnered significant attention due to its potential to streamline software developmen…
LLM-Powered Test Case Generation for Detecting Bugs in Plausible Programs
Kaibo Liu, Zhenpeng Chen, Yiyang Liu +7
Detecting tricky bugs in plausible programs, those that pass existing test suites yet still contain bugs, remains a significant challenge in software testing. To address this probl…